What are the responsibilities and job description for the Google Cloud Platform Data Engineer position at V2Soft?
Job Details
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Skills Required:
Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Implement methods for automation of all parts of the pipeline to minimize labor in development and production - Experience in analyzing complex data, organizing raw data and integrating massive datasets from multiple data sources to build subject areas and reusable data products - Experience in working with architects to evaluate and productionalize appropriate Google Cloud Platform tools for data ingestion, integration, presentation, and reporting - Experience in working with all stakeholders to formulate business problems as technical data requirement, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management
Skills Preferred:
Strong drive for results and ability to multi-task and work independently - Self-starter with proven innovation skills - Ability to communicate and work with cross-functional teams and all levels of management - Demonstrated commitment to quality and project timing - Demonstrated ability to document complex systems - Experience in creating and executing detailed test plans
Experience Required:
In-depth understanding of Google s product technology (or other cloud platform) and underlying architectures - 5 years of analytics application development experience required - 5 years of SQL development experience - 3 years of Cloud experience (Google Cloud Platform preferred) with solution designed and implemented at production scale - Experience working in Google Cloud Platform based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Airflow, etc. - 2 years professional development experience in Java or Python, and Apache Beam - Extracting, Loading, Transforming, cleaning, and validating data - Designing pipelines and architectures for data processing - 1 year of designing and building CI/CD pipelines
Experience Preferred:
Experience building Machine Learning solutions using TensorFlow, BigQueryML, AutoML, Vertex AI - Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in Google Cloud Platform - Experience with DataPlex or Informatica EDC is preferred - Experience with development eco-system such as Git, Jenkins and CICD - Exceptional problem solving and communication skills - Experience in working with DBT/Dataform - Experience in working with Agile and Lean methodologies - Team player and attention to detail - Performance tuning experience
Education Required:
Bachelor s degree in computer science or related scientific field
Education Preferred:
Google Cloud Platform Professional Data Engineer Certified * Master s degree in computer science or related field * 2 years mentoring engineers * In-depth software engineering knowledge
V2Soft is an Equal Opportunity Employer (EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
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